How does this training address GR 71/2019 compliance for our systems?

Our programme covers the March 2026 compliance deadline, data localisation requirements, and progressive sanctions under GR 71/2019's implementing regulation. We help tech teams assess which of their systems qualify as Public Electronic Systems and build compliance plans.

Does the training cover OJK requirements for fintech clients?

Yes. If your company serves financial sector clients, we cover OJK's Banking AI Governance guidelines (April 2025) including human-in-the-loop requirements, AI Committee structures, and audit trail mandates that your products and services must support.

How do you differentiate from Algoritma or Indonesia AI bootcamps?

We focus on applied AI for business outcomes rather than data science theory. While Algoritma and Indonesia AI offer excellent technical training, our programmes build the governance, change management, and strategic capabilities that complement technical skills.

Can our team access government AI training programmes alongside this?

Yes. We help teams identify complementary pathways including the Digital Talent Scholarship (60,000 scholarships in 2025), elevAIte Indonesia (Microsoft-KOMDIGI partnership for 1 million participants), and Kartu Prakerja subsidies for individual team members.

Can this work with our existing RMM and PSA tools?

Yes. We teach AI approaches that integrate with major MSP platforms (ConnectWise, Datto, NinjaRMM, Autotask, etc.) via APIs. AI tools enhance your existing tech stack rather than replacing it.

How do we handle multi-tenant AI across client environments?

Module 1 specifically covers multi-tenant AI considerations — data isolation, per-client customisation, and shared vs dedicated AI models. We design AI solutions that maintain strict client data separation.

Will AI replace our L1 technicians?

AI handles routine, repetitive issues autonomously — freeing L1 technicians to handle more interesting, complex work. Most MSPs redeploy freed L1 capacity to L2/L3 roles or new client onboarding rather than reducing headcount.

How quickly can we see automation results?

Service desk AI typically shows results within 2-4 weeks: 40-50% of common ticket types resolved autonomously within the first month, growing to 60-70% within 3 months as the AI learns your environment.

Is this relevant for small MSPs (under 20 staff)?

Yes. Small MSPs benefit disproportionately because AI automation multiplies the capacity of each team member. The programme is designed to work for MSPs of all sizes with scalable tool recommendations.

AI for IT Services & Managed Service Providers in…

AI Landscape in Indonesia

Indonesia's AI market was valued at USD 1.77 billion in 2023, with forecasts projecting growth to USD 10.88 billion by 2030. The country has 8 unicorns, 918 active startups, and a vibrant local AI ecosystem including Kata.ai (Bahasa NLP), Prosa.ai (voice-to-text), and Nodeflux (computer vision). GR 71/2019's implementing regulation requires Public Electronic System Providers to fully comply by March 2026 or face blacklisting. OJK's updated AI code of ethics (December 2024) and Banking AI Governance guidelines (April 2025) create regulatory obligations for tech companies serving financial clients. Despite strong adoption (47% YoY growth), 84% of businesses report infrastructure challenges.

Key Challenges in Indonesia

GR 71/2019 Compliance for Electronic Systems — Tech companies operating public electronic systems face a March 2026 compliance deadline. Non-compliance results in blacklisting and delisting, making AI governance training an operational priority.
OJK Requirements for Fintech Clients — Technology companies serving financial sector clients must align with OJK's AI governance guidelines, including human-in-the-loop requirements and audit trail mandates. Training must prepare tech teams for these client-facing obligations.
Competition from Local AI Ecosystem — Indonesia has 59 tracked AI companies including Kata.ai, Prosa.ai, and Nodeflux, plus strong presence from McKinsey, Accenture, and Deloitte. Tech companies need AI capabilities to remain competitive in this crowded market.
Infrastructure Barriers Despite Strong Adoption — 84% of Indonesian businesses report infrastructure as a barrier to AI adoption (IBM), yet the AI market is projected to reach USD 10.88 billion by 2030. Tech teams must be prepared to deploy AI solutions that work within infrastructure constraints.

Why Pertama Partners in Indonesia

Pertama positions between Algoritma (technical bootcamps) and Big 4 firms (enterprise advisory) with practical AI capability building for mid-market tech companies. We address Indonesia-specific challenges including GR 71/2019 compliance, OJK client requirements, and local ecosystem integration.

All training materials and facilitation delivered in Bahasa Indonesia. Presidential Regulation No. 63/2019 mandates Bahasa in business agreements, so all contracts and documentation comply. Delivery accommodates Indonesian hierarchical business culture with musyawarah (consensus) decision-making approaches. Blended learning format combining in-person workshops (preferred by 65% of Indonesian companies) with digital delivery for nationwide reach. Technical content calibrated for Indonesia's infrastructure context (84% report barriers). Examples include local AI ecosystem (Kata.ai, Prosa.ai, Nodeflux) and regulatory compliance scenarios.

Market Size

$5.8 billion AI market by 2030

What you'll achieve

Problems you'll solve

L1 technicians handling repetitive ticket types that AI could resolve autonomously
Service desk unable to scale with client growth without proportional headcount increases
NOC overwhelmed by alert noise, missing critical issues among false positives
Security incident detection and response too slow across multi-client environments
Competitive disadvantage against MSPs offering AI-powered managed services
SLA compliance degrading during growth phases due to staffing constraints

Value you'll gain

Automation: AI resolves 60-70% of L1 tickets autonomously, freeing technicians for complex work
Scalability: Grow client base 2-3x without proportional headcount increases
Detection: AI monitoring reduces MTTR by 40-50% with intelligent alert triage
Security: AI-powered SOC detects threats 60% faster than manual monitoring
SLA: Maintain 99%+ SLA compliance even during rapid client portfolio growth
Margins: AI automation improves per-client margins by 25-35%

YOUR PATH FORWARD

From Readiness to Results

Every AI transformation is different, but the journey follows a proven sequence. Start where you are. Scale when you're ready.

ASSESS · 2-3 days

AI Readiness Audit

Understand exactly where you stand and where the biggest opportunities are. We map your AI maturity across strategy, data, technology, and culture, then hand you a prioritized action plan.

Get your AI Maturity Scorecard

Choose your path

TRAIN · 1 day minimum

Training Cohort

Upskill your leadership and teams so AI adoption sticks. Hands-on programs tailored to your industry, with measurable proficiency gains.

Explore training programs

DEPLOY · 2-3 days